Assar, S., Almetwally, E. (2023). Inference of Inverted Exponentiated Lomax Distribution based on Step-Stress Partially Accelerated Life Test under Progressive Type II Censoring. The Egyptian Statistical Journal, 67(2), 29-49. doi: 10.21608/esju.2023.228626.1017
Salwa M. Assar; Ehab M. Almetwally. "Inference of Inverted Exponentiated Lomax Distribution based on Step-Stress Partially Accelerated Life Test under Progressive Type II Censoring". The Egyptian Statistical Journal, 67, 2, 2023, 29-49. doi: 10.21608/esju.2023.228626.1017
Assar, S., Almetwally, E. (2023). 'Inference of Inverted Exponentiated Lomax Distribution based on Step-Stress Partially Accelerated Life Test under Progressive Type II Censoring', The Egyptian Statistical Journal, 67(2), pp. 29-49. doi: 10.21608/esju.2023.228626.1017
Assar, S., Almetwally, E. Inference of Inverted Exponentiated Lomax Distribution based on Step-Stress Partially Accelerated Life Test under Progressive Type II Censoring. The Egyptian Statistical Journal, 2023; 67(2): 29-49. doi: 10.21608/esju.2023.228626.1017
Inference of Inverted Exponentiated Lomax Distribution based on Step-Stress Partially Accelerated Life Test under Progressive Type II Censoring
1Department of Mathematical Statistics, Faculty of Graduate Studies for Statistical Research , Cairo University
2Faculty of Business Administration, Delta University for Science and Technology, Gamasa
Abstract
Due to the importance of the problem of testing the product units under stress higher than normal stress conditions, specially used in reliability analysis. In this paper, we discuss the problem of estimation with step stress partially accelerated life tests, the lifetime of testing items under use condition follow the inverted exponentiated Lomax distribution. The test is running under progressive Type-II censoring scheme, and the units drawn from the test were distributed as a binomial distribution. The model parameters and acceleration factor are estimated by maximum likelihood and Bayesian methods. The corresponding asymptotic confidence intervals as well as credible intervals are also constructed. The method for Bayesian estimates for the parameters of the IEL distribution under PTII censoring based on SS-PALT model is presented. Also, the theoretical results are assessed and compared through Monte Carlo simulation study. Two real data set are used to illustrate how the approaches will perform in practice. Finally, we reported some comments about numerical computation.
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